Manage a partitioned table in BigQuery 

Activity overview
Partitioned tables are a powerful tool that cloud data analysts can use to improve query performance and reduce costs.
A partitioned table is divided into segments, called partitions, that make it easier to manage and query your data. By dividing a large table into smaller partitions, you can improve query performance and control costs by reducing the number of bytes read by a query.
In this lab, you’ll partition tables by specifying a partition column which is used to segment the table, manage tables using default and customized settings, add and export data, and query tables.
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